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- Maastricht University (UM); today published
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- University of Twente (UT); 26 Sep ’25 published
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or expression, sexual orientation, religion, ethnicity, age, neurodiversity, functional impairment, citizenship, or any other aspect which makes them unique. We look forward to welcoming you to our community
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from experiments or modelling, and interpreting this data in terms of its biological meaning and relevance. For these positions your command of the English language is expected to be at C1 level
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Europe in terms of research output. Candidates are expected to contribute to the group's world-class research and teaching, and thereby to management science and management practice in logistics and supply
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Leiden University. While the position offers a certain degree of freedom in terms of the precise research direction, the candidate will be asked to work on issues related to social segregation
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diagnosed too late, delaying intervention until after critical neuroplastic windows have passed. Recent guidelines have outlined reliable tools for early CP detection, combining brain MRI, EEG, and clinical
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(both in terms of research setup and budget). What we offer At Maastricht University, you will work in an international, open, and inclusive environment. We offer: An employment contract for a period of
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analysing complex (biological) datasets, coming from experiments or modelling, and interpreting this data in terms of its biological meaning and relevance. For these positions your command
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metabolism and performance. Working across in vivo, ex vivo, and in vitro systems, you will integrate advanced cardiac imaging, metabolic flux analysis, and biochemical profiling to connect molecular damage
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Foundation Models for Industry (FIND), collaborating with leading Dutch universities, knowledge institutes, and industry partners. The FIND project Foundation for Industry (FIND) – Large AI Models for a
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’ program Foundation Models for Industry (FIND), collaborating with leading Dutch universities, knowledge institutes, and industry partners. The FIND project Foundation for Industry (FIND) – Large AI Models